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Analytics Design

Design measurement strategies with metrics hierarchy, event taxonomy, and A/B test frameworks.

1|1|Updated Feb 21, 2026
Search Tags:#analytics#A/B testing#metrics#product strategy#telemetry#experimentation
One-click install
npx skills add https://github.com/dtsong/claude-code-windows-setup --skill analytics-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Analytics Design
Source: https://github.com/dtsong/claude-code-windows-setup/tree/main/skills/council/strategist/analytics-design
Command: npx skills add https://github.com/dtsong/claude-code-windows-setup --skill analytics-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you design a comprehensive measurement strategy for features, ensuring that you can effectively evaluate their success with data.

Core Features & Use Cases

  • Metrics Hierarchy Design: Define North Star, Leading, and Guardrail metrics.
  • Event Taxonomy: Establish consistent naming conventions for telemetry events.
  • Funnel & A/B Test Planning: Structure user flows and experiment designs.
  • Use Case: Before launching a new feature, use this Skill to define exactly which user actions to track, how to measure success with A/B tests, and what metrics to monitor.

Quick Start

Design a measurement strategy for a new user onboarding flow.

Frequently Asked Questions about Analytics Design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a measurement strategy for a new product feature?▼

Design a measurement strategy by defining a metrics hierarchy, establishing event taxonomy, structuring funnel instrumentation, and planning A/B test frameworks to evaluate feature success.

What is metrics hierarchy and how does it apply to product analytics?▼

Metrics hierarchy structures product analytics by categorizing measurements into North Star, Leading, and Guardrail metrics to align evaluation with overarching product strategy.

How do I plan A/B testing and funnel instrumentation for feature launches?▼

Plan A/B testing and funnel instrumentation by structuring user flows and experiment designs to track specific user actions and measure success against defined guardrail metrics.

Can I use this to establish telemetry event taxonomy for data pipelines?▼

Yes, you can establish consistent naming conventions for telemetry events to plan data pipelines, define success criteria, and ensure privacy compliance for product evaluation.

When do I need a comprehensive measurement strategy for product experimentation?▼

You need a comprehensive measurement strategy before launching new features to ensure data-driven product evaluation, define success criteria, and structure experimentation frameworks.

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